Favorite As the volume of unstructured data such as text and voice continues to grow, businesses are increasingly looking for ways to incorporate this data into their time series predictive modeling workflows. One example use case is transcribing calls from call centers to forecast call handle times and improve call
Favorite Businesses are increasingly deploying multiple machine learning (ML) models to serve precise and accurate predictions to their consumers. Consider a media company that wants to provide recommendations to its subscribers. The company may want to employ different custom models for recommending different categories of products—such as movies, books, music,
Favorite The text below is from an article entitled Getting the most from after action reviews to improve global health security Image from wikimedia commons “Tannenbaum and Cerasoli conducted a systematic review of findings from 46 studies. Limiting their analysis to studies that reported on the impacts of AARs on “quantifiable
Favorite Here is a useful Boston Square which might help you unpack some of the assumptions behind knowledge transfer. Knowledge transfer is a term everyone uses, but often we can bring baggage and assumptions to the term. What exactly do we MEAN by transferring knowledge? How is it transferred,
Favorite If mentoring is not working for you, try dedicated learning? Image from wikimedia commons Mentoring and coaching are tried and tested ways of transferring knowledge between an older experienced person, and a younger less experienced person. However this relationship often breaks down. In a recent study for a client
Favorite There is a lot of value in a KM audit, so long as you do it regularly. In this post, I suggested that there are two types of KM surveys; the audit and the assessment. I said the first was like counting the apples in your orchard, the second
Favorite Workplace safety hazards can exist in many different forms: sharp edges, falling objects, flying sparks, chemicals, noise, and a myriad of other potentially dangerous situations. Safety regulators such as Occupational Safety and Health Administration (OSHA) and European Commission often require that businesses protect their employees and customers from hazards
Favorite This is a guest post by Dustin Potter at EagleDream Technologies. In their own words, “EagleDream Technologies educates, enables, and empowers the world’s greatest companies to use cloud-native technology to transform their business. With extensive experience architecting workloads on the cloud, as well as a full suite of skills
Favorite Computer vision uses machine learning (ML) to build applications that process images or videos. With Amazon Rekognition, you can use pre-trained computer vision models to identify objects, people, text, activities, or inappropriate content. Our customers have use cases that span every industry, including media, finance, manufacturing, sports, and technology.
Favorite Historically, humans have observed animal behaviors and applied them for different purposes. For example, behavioral observation is important in animal ecology, such as how often the behaviors are, when the behaviors occur, or whether there is individual difference or not. However, identifying and monitoring these behaviors and movements can
Shared by AWS Machine Learning October 22, 2020
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